Skip to content
Journal article

Predicting Product Performance with Social Media

Performance P, Media S ...see all

Media, vol. 15, issue 2 (2011) pp. 46-57

  • 12

    Readers

    Mendeley users who have this article in their library.
  • N/A

    Citations

    Citations of this article.
  • N/A

    Views

    ScienceDirect users who have downloaded this article.
Sign in to save reference

Abstract

In recent years, social media has become ubiquitous and important for social networking and content sharing. And yet, the content that is generated from these websites remains largely untapped. In this paper, we demonstrate how social media content can be used to predict real-world outcomes. In particular, we use the chatter from Twitter.com to forecast box-office revenues for movies. We show that a simple model built from the rate at which tweets are created about particular topics can outperform market-based predictors. We further demonstrate how sentiments extracted from Twitter can be further utilized to improve the forecasting power of social media.

Author-supplied keywords

  • internet
  • movie
  • prediction
  • social media
  • social networks

Get free article suggestions today

Mendeley saves you time finding and organizing research

Sign up here
Already have an account ?Sign in

Authors

  • Predicting Product Performance

  • Social Media

Cite this document

Choose a citation style from the tabs below